Software Engineer, Lambda

• Have strong proficiency in Python, backed by 3-5 years of professional software development experience, ideally leaning towards 5 years
• Solid understanding of Go, with the capability to develop efficient and maintainable code
• Have hands-on experience with containers (Docker preferred)
• Have familiarity with Kubernetes (K8s is a plus but not required)
• Are comfortable working with Linux-based systems in a distributed environment
• Have experience working with large, complex codebases and improving their maintainability
• Have learned from past large-scale technical mistakes and grown from them
• Can take ownership of an internal tool and drive it forward
• Are eager to learn on the job, especially regarding the testing system’s architecture
• Are adaptable and enjoy working in fast-moving, high-impact environments
• Communicate well with cross-functional teams and collaborate effectively on large-scale engineering efforts

Desirable

• Join a functional sub-team of Compute at Lambda which is responsible for the development of a critical internal testing system that manages AI testloads across large GPU compute clusters
• Improve code quality, internal validation, and support for new topologies in the testing system
• Work on scalability challenges, enabling the testing system to support very large-scale clusters
• Transition communication mechanisms from SSH to node agents, exploring ZeroMQ or Redis streams
• Fix bugs and operational blockers to enable smoother handoff to non-engineering teams
• Contribute to the implementation efforts, and collaborate with the team on high-level architecture or strategic direction
• Work closely with the HPC-Ops and other internal consumers of the testing system